This repository contains codes and data of the paper "Analysis of the Neglect-Zero Effect in Large Language Models", accepted to ACL2026SRW.
We prepare toml file, so you can setup by running this:
$ uv syncAfter completing the setup, you can run the following code to perform inference with LLMs. Please note that you must ensure that the open-weight models and necessary APIs are accessible beforehand. Additionally, make sure to replace the placeholders {model} and {path_of_model} according to the specific model you wish to use.
$ uv run python main_{model}.py --model_name_or_path {path_of_model} --batch_id 1-16
$ uv run python results_integrater.pyAfter that, if you wish to conduct the statistical analysis, open and run ./results/analysis.Rmd using RStudio or a similar environment.
Note that the ./results already contains the pre-saved inference data from our experiment, allowing you to consuct the statistical analysis directly.
Note
Our dataset is made by the dataset of Klochowicz et al. (2025).
If you use this code in any published research, please cite the following:
- Jin Tanaka, Daiki Matsuoka, Ryoma Kumon, and Hitomi Yanaka. 2026. Analysis of the Neglect-Zero Effect in Large Language Models. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), pages 1052–1064, San Diego, California, United States. Association for Computational Linguistics.
@inproceedings{tanaka-etal-2026-analysis,
title = "Analysis of the Neglect-Zero Effect in Large Language Models",
author = "Tanaka, Jin and
Matsuoka, Daiki and
Kumon, Ryoma and
Yanaka, Hitomi",
editor = "T.Y.S.S., Santosh and
Rodriguez, Juan Diego and
de Gibert, Ona",
booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 4: Student Research Workshop)",
month = jul,
year = "2026",
address = "San Diego, California, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.acl-srw.91/",
doi = "10.18653/v1/2026.acl-srw.91",
pages = "1052--1064",
ISBN = "979-8-89176-393-7"
}For any questions, please contact jt141214@g.ecc.u-tokyo.ac.jp.
- Apache-2.0 license